Namespaces | |
namespace | fast |
Convolution algorithms. | |
namespace | internal |
namespace | slow |
Convolution algorithms. | |
Functions | |
template<class I, unsigned Size, typename SE, typename Sum> | |
oln::mute< I >::ret | nagao_generalized (const oln::abstract::image< I > &in, const internal::se_array< Size, SE > &sa) |
template<class I> | |
oln::mute< I >::ret | nagao (const oln::abstract::non_vectorial_image_with_dim< 2, I > &in) |
template<class I> | |
oln::mute< I >::ret | nagao (const oln::abstract::vectorial_image_with_dim< 2, I > &in) |
oln::mute< I >::ret oln::convol::nagao | ( | const oln::abstract::vectorial_image_with_dim< 2, I > & | in | ) | [inline] |
Standard Nagao filter 5x5.
Apply the 5*5 nagao filter on a vectorial image.
#include <oln/convol/nagao.hh> #include <oln/basics2d.hh> #include <ntg/all.hh> int main() { oln::image2d<ntg::rgb_8> imc = oln::load(IMG_IN "lena.ppm"); oln::save(oln::convol::nagao(imc), IMG_OUT "oln_convol_nagao.ppm"); }
Definition at line 196 of file nagao.hxx.
References oln::convol::internal::mk_nagao_windows_5x5().
00197 { 00198 typedef ntg::rgb_8::float_vec_type float_vec_type; 00199 return nagao_generalized<I, 9, window2d, float_vec_type> 00200 (in, internal::mk_nagao_windows_5x5()); 00201 }
oln::mute< I >::ret oln::convol::nagao | ( | const oln::abstract::non_vectorial_image_with_dim< 2, I > & | in | ) | [inline] |
Standard Nagao filter 5x5.
Apply the 5*5 nagao filter on a non vectorial image.
#include <oln/convol/nagao.hh> #include <oln/basics2d.hh> #include <ntg/all.hh> int main() { oln::image2d<ntg::int_u8> imc = oln::load(IMG_IN "lena256.pgm"); oln::save(oln::convol::nagao(imc), IMG_OUT "oln_convol_nagao_256.pgm"); }
Definition at line 168 of file nagao.hxx.
References oln::convol::internal::mk_nagao_windows_5x5().
00169 { 00170 return nagao_generalized<I, 9, window2d, ntg::float_s> 00171 (in, internal::mk_nagao_windows_5x5()); 00172 }
oln::mute< I >::ret oln::convol::nagao_generalized | ( | const oln::abstract::image< I > & | in, | |
const internal::se_array< Size, SE > & | sa | |||
) | [inline] |
A Nagao filter generalized.
Each point in the input corresponds to the mean of the window in which has the smallest variance.
in | Input image. | |
sa | array of structuring elements. |
Definition at line 133 of file nagao.hxx.
00135 { 00136 ntg_compare_nb_comp(Sum, oln_value_type(I))::ensure(); 00137 in.border_adapt_width(sa.delta()); 00138 oln_concrete_type(I) out(in.size()); 00139 oln_iter_type(I) it(out); 00140 for_all(it) 00141 out[it] = internal::mean_of_smaller_variance<I, SE, Size, Sum> 00142 (in, it, sa); 00143 return out; 00144 }